Continuing the discussion from Simplifying Beeminder:
My tagging is only semi-structured, which is probably right. No point spending much time agonising over what tag to use. Some of my tags are pretty consistent, others are all over the place, others become consistent. (The cntpings tool is good for exploring what you’ve tagged after the fact.)
I mark travel along with the activities that I’m travelling to do; so my daily commute would be tagged
I tag time spent at work separately from time spent working. That’s important because most jobs contract you to N hours per week, not N insanely-productive hours per week. You may want to increase the latter, but almost certainly not to 100%. (As you’d expect, Beeminder is not like most jobs, so our meta graphs don’t just reflect time spent in the office.)
You can post-process tag files. I fix misspelled tags that way, add category tags (like
fit if it sees
swim, etc), and to add travelling
abroad markers for specified time periods. (
Note to self, get that on github. Done.) Mostly this means that if you notice a mistake later, it can be fixed, so even less stress in getting the tags exhaustively complete and correct when the ping happens.
Here’s the annotated output from my (hacked) ping-counter showing tags that took more than 4% of my time over the last year.
$ cntpings --year --four 11599 (362d11h15:00s) / 11599 (8699h15:00s ~ 8753h23:58s) = 100% Start: 2013-11-13 00:00:00 WED (pings before this: 10876) End: 2014-11-12 17:46:34 WED (pings after this: 0) PIE: tag pings pct total time time/day time/week *ALL* 11599 100% 362d11h15:00 23h51:01s 166h57:12s sleep 4006 35% 125d23h19:54 8h17:20s 58h01:22s *asleep* dj 1199 10% 37d16h53:11s 2h28:51s 17h21:58s *dayjob* arf 1121 10% 35d06h01:11s 2h19:10s 16h14:11s *girlfriend* social 1056 9% 33d04h57:51s 2h11:06s 15h17:42s *with folks* nnj 1030 9% 32d09h20:31s 2h07:52s 14h55:06s *non-dayjob-jobs* abroad 639 6% 20d02h15:14s 1h19:19s 9h15:19s *away from home* morning 569 5% 17d21h25:29s 1h10:38s 8h14:29s *getting up/ready* badly 566 5% 17d19h09:38s 1h10:16s 8h11:52s *subset of sleep* travel 554 5% 17d10h06:15s 1h08:46s 8h01:26s *en route* fit 497 4% 15d15h05:10s 1h01:42s 7h11:54s *fitness* eat 471 4% 14d19h27:50s 58:28s 6h49:19s *lower bound* bmndr 440 4% 13d20h04:06s 54:37s 6h22:22s *beeminder work* profdev 438 4% 13d18h33:32s 54:22s 6h20:38s *learning* mtg 407 4% 12d19h09:47s 50:31s 5h53:41s *meetings* :(
n.b. I left my day job during the past year, so don’t read too much in to those values; my life patterns changed significantly!
Also, tags are not exclusive, so heading out to dinner with my girlfriend and some friends would be tagged
arf eat social travel, and maybe
walk too if that’s how we got there!
What you value is reflected in p r e c i s e l y how you spend your time.
@chelsea You’ll also slowly get used to the fact that Tagtime is random. Sometimes you’ll get pinged three times in a row, other times not for hours. And sometimes it’ll seem perverse. Just now I was writing a forum response that would’ve counted as
bmndr (this one wouldn’t) and a friend came over; we chatted for less than 2 minutes, but when I turned back to my laptop I saw that I’d been pinged…
social. Sigh. Just trust that, over time, it’ll build up a true picture. (And again. FFS. But now I know why a) working in coffee shops may be a bad idea, and b) I’ve got so much time racked up against